Google Announces AI Gemini 2023 Dynamic

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13 Min Read
Google Announces AI Gemini
Google Announces AI Gemini
Google Announces AI Gemini

Google Announces AI Gemini Google has taken the wraps off from its new AI model, Gemini. This model is designed to behave in human-like ways, better that what other models can achieve. Gemini is a new artificial intelligence model that outperforms other models in tasks like understanding, summarising, reasoning, coding, and planning. It comes in three versions: Pro, Ultra, and Nano. The Pro version is already available, and the Ultra version will be released early next year.

Contents
Google Announces AI Gemini 2023 NewWhat is Gemini ? Google Announces AI Gemini Gemini is a large language model (LLM) developed by Google’s DeepMind division. It’s designed to compete with other AI systems like OpenAI’s ChatGPT and possibly outperform them.Multimodal CapabilitiesGoogle Announces AI Gemini 2023 Different Sizes and CapabilitiesGemini better than ChatGPT 4 ?Gemini’s IntelligenceGemini AI (Hypothetical)Animal Movie Bhabhi 2 Name Free MovieHow To Earn Money At HomeHero Xtreme 160R 4V Mileage, Price & Engine DetailsJio Phone 5G Release Date 5000mAh बैटरी और नई फीचर्स के साथ 2024 में लॉन्च होने वाला है।Vivo x100s Review दमदार 5000mAh बैटरी प्रोसेसर और स्टोरेज होने वाला लॉन्च !Google Pixel Watch 3 Review पहली बार इतनी बड़ी डिस्प्ले के साथ हो सकती है लॉन्चSkoda Superb 2024 में होगी शानदार एंट्री, 50 लाख में मिलने वाली है, जानिए फीचर्स और परफॉर्मन्सMoto Edge 50 Pro Price इंडिया में लॉन्च, कंपनी का पहला AI फोन जो 125W की चार्जिंग और आपको कम प्राइस में देखने मिलने वाला हैTata Mutual Fund in 2024 टाटा का सबसे अच्छा म्यूचुअल फंड की जो 3 महीने में आपको FD में 4 गुना का फायदा करके देने वाला है1 April Rule Changes: 1 April से बदलने जा रहे सारे कायदे-कानून है आपके जीवन में असर डालने वाले ये नियमVivo V25 5G Review: 16GB रैम के साथ आयेगा यह स्मार्टफ़ोन जो इंडिया में लॉन्च होने वाले है।भारत में 2024 में सबसे ज्यादा माइलेज देने वाली बाइक Honda Unicorn Price और नए फीचर्स के साथ लॉन्च होने वाली हैASUS Zenbook 14 OLED Price: ASUS ने मात्र 20,000 का लैपटॉप लॉन्च कियाSamsung Galaxy A55 5G Price & Review 2024

Google Announces AI Gemini 2023 New

Google Announces AI Gemini
Google Announces AI Gemini

Google Announces AI Gemini Currently, Google has integrated the new Gemini Pro with its chatbot Bard which is a direct competitor of ChatGPT. You can have a text-based interaction with Gemini-powered Bard but Google has promised support for other modalities “soon”. The new update is available in 170 countries and territories but it is limited to English.

What is Gemini ?
Google Announces AI Gemini Gemini is a large language model (LLM) developed by Google’s DeepMind division. It’s designed to compete with other AI systems like OpenAI’s ChatGPT and possibly outperform them.
Multimodal Capabilities

Google Announces AI Gemini Gemini is designed from the ground up to be multimodal, integrating text, images, and other data types. This could allow for more natural conversational abilities. Google showcased the abilities of the AI by conversing with it with the help of a direct video interaction, showing it different objects in real time.

Gemini is one of the “next-generation multimodal models” that will utilize Pathways, Google’s new AI infrastructure. This hints at Gemini potentially being the largest language model created to date.

Google Announces AI Gemini 2023 Different Sizes and Capabilities

Google Announces AI Gemini
Google Announces AI Gemini

Google Announces AI Gemini Gemini is a “series of models” that will be made available in different sizes and capabilities. It may utilise memory, fact-checking against sources like Google Search, and improved reinforcement learning to enhance accuracy and reduce hazardous hallucinated content.

Gemini is expected to have a significant impact on the AI industry. It’s Google’s most powerful AI model yet and outperforms OpenAI’s GPT-4. It powers applications and devices like the Bard chatbot and Pixel 8 Pro. Google claims it is one of the first models that has been built as multi-modal LLM from the ground up. That should make interaction more natural and “human-like”.

Google Announces AI Gemini Interaction with Gemini using hand gestures, images, drawings, etc: In this video, Google shows a user interacting with Gemini in multiple modes of input as well as language. The user can be seen talking, showing hand gestures, images, photos, and drawings to Gemini and asking the model various types of questions.

Google Announces AI Gemini You can also see the model take on complicated tasks like multimodal dialogue, solving visual puzzles, making connections, logical and spatial reasoning, translating visuals, and displaying cultural understanding. For example, the user plays the classic cup game and asks Gemini to identify a coin that is hidden under one of three cups.

Gemini correctly identifies the cup under which the coin is hidden. A large of this is possible because Gemini is multimodal, meaning it can understand and “Google Announces AI Gemini operate across and combine different types of information including text, code, audio, image and video,” the company explained.

Gemini better than ChatGPT 4 ?

Google Announces AI Gemini
Google Announces AI Gemini

Google Announces AI Gemini At the moment it is hard to say, but Gemini seems to be more flexible that GPT4 at the moment. Also it ability to work with video and on devices without Internet give it an edge. Another factor is that Gemini is now free to use while ChatGPT4 is only for paid users.

Google Announces AI Gemini On safety, Google said it is adding “new protections to account for Gemini’s multimodal capabilities” and is considering potential risks and working to test and mitigate them at each state of development. The company claims it has “most comprehensive safety evaluations of any Google AI model to date, including for bias and toxicity” and has conducted research into potential risk areas like cyber-offense, persuasion, and autonomy. It is also working working with a diverse group of external experts and partners to stress-test our models across a range of issues and identify blindspots in Google’s internal evaluation approach.

Google engineer showcases how Gemini’s multimodal capabilities and sophisticated reasoning can be used to check a handwritten physics homework sheet and for customised explanations for each question. It can also provide practice questions to help test and expand knowledge or to improve in any weak areas. It will be interesting to see how schools view these capabilities as they can also be misused by students.

Google DeepMind researchers demonstrate the model’s advanced coding abilities, such as quickly prototyping a web app to explore London’s train stations. The model can also be seen solving competitive programming problems involving complex math and theoretical computer science. In one example, Gemini was able to solve a competitive coding problem that less than 0.2% of participants in a coding contest were able to solve. Gemini can work across Python, Java, C++, and Go.

Gemini’s Intelligence

Google Announces AI Gemini
Google Announces AI Gemini

Ultra : Google Announces AI Gemini This is the largest and most capable model for highly complex tasks. Since this model costs significant resources to run, it will likely underpin paid AI offerings from Google or be made available to enterprise customers on the Google Cloud Vertex platform. “For Gemini Ultra, we’re currently completing extensive trust and safety checks, including red-teaming by trusted external parties, and further refining the model using fine-tuning and reinforcement learning from human feedback (RLHF) before making it broadly available,” Google informed.

Pro : Google Announces AI Gemini This model is focused on most general AI tasks and will underpin most free, consumer-facing AI services. Google Bard has been updated to run on Gemini Pro, but an upgraded version of the chatbot called Bard Advanced running on Gemini Ultra is expected to launch next year. Google has not shared if Bard Advanced will be paid or free. Gemini Pro will also power services like Search (Search Generative Experience), Ads, Chrome and Duet AI in the coming months, Google said. Gemini Pro API will become accessible to developers and enterprise customers starting December 13.

Nano : Google Announces AI Gemini Nano is the lightest model and is designed to run on-device tasks on handhelds like mobile devices. It will be able to function without the internet. To start with, the auto-summarization feature in the Recorder app and the Smart Reply part of the Gboard keyboard on the Pixel 8 Pro will be powered by Gemini Nano. “Android developers will also be able to build with Gemini Nano, our most efficient model for on-device tasks, via AICore, a new system capability available in Android 14, starting on Pixel 8 Pro devices,” Google said.

We’ve been rigorously testing our Gemini models and evaluating their performance on a wide variety of tasks. From natural image, audio and video understanding to mathematical reasoning, Gemini Ultra’s performance exceeds current state-of-the-art results on 30 of the 32 widely-used academic benchmarks used in large language model (LLM) research and development,” the company claimed, sharing the following two charts showing the Gemini Ultra’s scores vs GPT-4 on various benchmarks in text and multimodal input.

Google Announces AI Gemini Every technology shift is an opportunity to advance scientific discovery, accelerate human progress, and improve lives. I believe the transition we are seeing right now with AI will be the most profound in our lifetimes, far bigger than the shift to mobile or to the web before it. AI has the potential to create opportunities from the everyday to the extraordinary for people everywhere. It will bring new waves of innovation and economic progress and drive knowledge, learning, creativity and productivity on a scale we haven’t seen before.

Gemini AI (Hypothetical)

Google Announces AI Gemini
Google Announces AI Gemini

Google Announces AI Gemini Given the name “Gemini AI,” it might be a specific AI product or platform. Here are some hypothetical aspects it could encompass.

Diverse Capabilities :

Google Announces AI Gemini It might integrate various AI technologies such as machine learning, NLP, and computer vision to offer a broad range of functionalities.

Adaptability and Learning :

If named after the Gemini constellation, it could suggest adaptability and the ability to learn and evolve, perhaps through continuous improvement mechanisms.

Industry Applications :

Gemini AI might be tailored for specific industries, such as healthcare, finance, or manufacturing, addressing unique challenges within those sectors.

User-Friendly Interface :

Google Announces AI Gemini A user-friendly interface could be a key feature, allowing individuals without extensive technical knowledge to leverage the power of AI.

Privacy and Security :

Considering the sensitivity of data in AI applications, Gemini AI might prioritize robust privacy and security measures.

Scalability :

Google Announces AI Gemini Scalability could be a crucial factor, indicating the ability to handle increasing amounts of data and computational demands as businesses grow.

Google Announces AI Gemini
Google Announces AI Gemini

Collaboration and Integration :

Gemini AI might emphasize seamless integration with existing systems and collaboration with other technologies or platforms.

Artificial Intelligence (AI) :

Google Announces AI Gemini Artificial Intelligence refers to the simulation of human intelligence in machines programmed to think and learn like humans. It encompasses various technologies and approaches, including machine learning, natural language processing, computer vision, and more.

Machine Learning :

Google Announces AI Gemini Machine learning is a subset of AI that involves developing algorithms that enable computers to learn from data and make decisions or predictions. This process allows machines to improve their performance over time without explicit programming.

Natural Language Processing (NLP) :

NLP focuses on enabling machines to understand, interpret, and generate human language. It is crucial for applications like chatbots, language translation, and sentiment analysis.

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